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Regional inequality in the process of economic growth has recently been a popular topic. This paper creatively proposes contribution decomposition methods to divide various regions' contributions into economic contribution and population contribution. The methods consider not only economic growth but also population change, which may be more effective than the traditional method that uses the per capita GDP (gross domestic product) as its single measurement indicator. Moreover, the objective is to take a step forward and reveal the spatio‐temporal evolution characteristics of regional disparities by integrating barycentre model and economic development equilibrium model. Lastly, the applicability of the research method proposed in this paper is verified by a case study of Jiangsu province, China; the results show a new regional economic pattern in Jiangsu province. [ABSTRACT FROM AUTHOR]

The study of cross-regional environmental spillover effects can reveal the spatial information of pollution, and helps to promote regional environmental governance under inter-government cooperation. Based on the non-linear granger causality test and social network analysis, we constructed and analyzed the network of cross-regional environmental spillover effects and the driving factors of the network structure. The results showed that Beijing, Shanghai, Guangzhou, Jiangsu, and Shandong have the most significant spatial spillover effects of environmental pollution to other provinces. GDP, foreign direct investment (FDI), wage levels (WL) and infrastructure levels (IFL) could explain 61.7% of the variance in the cross-regional environmental effects. Among them, GDP was the most powerful explanation for the network, and FDI, WL, and IFL were the main factors that affect the network's relationship. Finally, based on the above empirical results, this paper put forward the policy recommendations of cross-regional environmental governance. Therefore, in the development of regional economic growth targets, we should take full account of the constraints of regional ecological environment carrying capacity, to further improve the regional industrial production methods to promote the balanced development of cross-regional industries. Implications: As a relationship, the environmental spillover effect links the environmental emissions from different regions into a system, which is represented by the Network of Environmental Spillover Effects (NESE). The change of its structure will have an impact on the status, function and role of each region in the network structure, thus affecting the environmental changes in the region. Therefore, the study of the NESE is helpful to promote cross-regional environmental collaborative governance and reduce environmental pollution. [ABSTRACT FROM AUTHOR]

Since China's adoption of reform and open-up policy in 1978, Jiangsu Province has achieved a fast economic development, with the average annual increasement rate of GDP per capita at 11.3% (counted with comparative price). In this process, the role of infrastructure in pushing the economic growth receives great attention. Study on the pushing effect of infrastructure on the economic growth will help the stipulation of proper infrastructure development strategy, so as to push forward economy and narrow the regional gap. In this paper, we investigates the comprehensive evaluation problems of regional economy development level in Jiangsu Province with 2-tuple linguistic information. Then we propose dependent 2-tuple linguistic Maclaurin symmetric mean (D2TLMSM) operator and then apply D2TLMSM operator for evaluating the regional economy development level in Jiangsu Province with 2-tuple linguistic information. At last, a practical example is proposed to test the effectiveness of the given method. [ABSTRACT FROM AUTHOR]

Given the background of global warming, carbon emission reduction has become a topic of global importance. Land use change not only influences carbon storage in terrestrial ecosystems directly, but it also indirectly affects anthropogenic carbon emissions, which occur more frequently in coastal regions. Based on data of energy consumption, industrial products, waste, soil organic carbon, and vegetation, together with land use images of five typical years, this paper calculated the total carbon emissions in coastal Jiangsu, China, assigned the detailed carbon emission items to different land use types, and optimized land use structure to low carbon emissions using the Linear Programming Model. It was found that carbon emission intensity in coastal Jiangsu was much higher than the average for China as a whole, and that energy consumption contributed most to local carbon emissions with the contribution from animals second. Urban land accounted for the most concentrated and highest intensity of carbon emissions. Between 1985 and 2010, the transfer of cropland to built-up land accounted for the largest percentage of the total transferred area and contributed most to the increase of carbon emissions. In particular, the limitation of urban land will play a key role in carbon emission reduction. Our optimized land use structure can control and decrease carbon emissions effectively and thus, it is an important tool worth the consideration of land managers and policy makers. [ABSTRACT FROM AUTHOR]

This paper firstly introduced overall condition of agricultural and rural economic development in Jiangsu Province, and analyzed restrictive factors and bottleneck in the process of new socialist countryside construction from policy, fund and understanding. There are many problems in the process of new socialist countryside construction, including no supply and management system for rural public service products, no agricultural ecological compensation mechanism, increasingly prominent rural hollowing and decline of passing on economic culture, lack of funds and technologies for new socialist countryside construction, and inadequate understanding of new socialist countryside construction. In line with these problems, it came up with recommendations and countermeasures for beautiful improvement, innovation management and cultural cultivation. [ABSTRACT FROM AUTHOR]

Environmental regulation is an effective way to alleviate the contradiction between economic growth and environmental protection. Based on the current situation of environmental regulation in Jiangsu province, and through the establishment of the econometric model, this paper carries out an empirical study of environmental regulation in Jiangsu province. Location quotient and economic growth contribution rate of typical pollution-intensive industries are chosen as two indexes to evaluate their development and environmental regulation performance in a scientific manner. Finally, three conclusions are reached: first, despite some progress, the comprehensive environmental regulation in Jiangsu province still lags behind the average level of the whole nation (China); second, strict environmental regulation policies can alter the shape of the Environmental Kuznets Curve (EKC) and the position of the inflection point so as to contribute to a win-win outcome of economic growth and environmental protection under a relatively low environmental pollution level; third, to ease the pressure of environmental regulation, the formulation and implementation of environmental regulation policies should be combined with policies of optimizing the industrial structure. [ABSTRACT FROM AUTHOR]

Abstract: Since the start of economic reform in 1979, Jiangsu Province has become one of the most developed regions in China. To ensure adequate energy supply and sustainable development of economy and environment, it is necessary to analyze Jiangsu Province’s energy balance. The energy flow chart is taken as a useful tool for sorting out and displaying energy statistics data. The purpose of this paper is to draft the Jiangsu Province’s energy flow chart for 2009, which is used to study the characteristics of energy production and consumption in Jiangsu Province. We find that: (1) In 2009, energy imported from other regions accounted for 96.1% of the total primary energy supply. However, its energy supply mainly came from coal. (2) Jiangsu thermal power and heating efficiencies in 2009 were higher than those of Guangdong and China in 2007. However, its coal processing and petroleum refineries efficiencies in 2009 were lower than those of Guangdong and China in 2007. (3) Electricity supply in Jiangsu Province mainly depended on thermal power, which accounted for 88.97% of the total electricity supply. However, 96.36% fuel for thermal power was coal. (4) The share of final energy consumption of the secondary industrial sector was 81.28% in 2009. [Copyright &y& Elsevier]

The recent literature concerning globalizing regional development has placed significant emphasis on the Global Production Network (GPN 2.0). GPN 2.0 in economic geography emphasizes that regional growth is caused by a shift in the strategic coupling mode from a low to high level. In addition, GPN 2.0 regards firm-level value capture trajectories as key analytical object, rather than the interactive relationships among scalar and divergent actors in GPN 1.0. To provide a better understanding of causal linkages between the GPNs and uneven regional development in the background of globalization and to test the applicability of GPN 2.0 analysis framework, the paper analyzed 62 Korean-invested automotive firms in Jiangsu Province, China. In order to explore the value capture trajectories of lead firms in the GPNs, the authors applied K-means clustering method to quantitatively analyze the local supply networks of lead firms from organizational and spatial dimensions. Then, comparisons were made between strategic coupling modes of GPNs and regional development in North and South Jiangsu. This study found obvious similarities within these two regions but obvious differences between them in terms of value capture trajectories. We observed that North Jiangsu is currently in the stage of "structural coupling", whereas South Jiangsu is in the stage of "functional coupling." Thus, this article argues that spatial settings such as regional assets and autonomy are key factors influencing uneven economic development. This research may provide a crucial reference for the regional development of Jiangsu, China. [ABSTRACT FROM AUTHOR]

• Performance of airports relates to underlying patterns of economic development, airport size and aircraft used. • Airports have a high reduction potential of CO 2 emission, without a loss of economic performance. • Airport size, location, and linkage to the local economy are closely related to aircraft CO 2 emissions. • Different stakeholders have different impacts on adding to sustainable development. This paper analyzes aircraft CO 2 emissions (in both quantity and intensity per passenger) during landing and take-off cycles at nine different airports in Jiangsu province (China) over a ten-year time span (2007–2016). Our database is unique and very detailed in that we combine flight schedules, with aircraft type (engines) used, and landing-and-take-off cycles. We are particularly interested in how the spatial characteristics impact emission levels. To this end we estimate a CO 2 emission model taking the airport characteristics into account, and apply a spatial classification and autocorrelation model to distinguish between different types of airports and systems. Our analysis shows that: (1) there are strong spatial distribution differences between airports due to the patterns of economic development, airport size and aircraft used; (2) most airports have a high reduction potential of CO 2 emission, without a loss of economic performance; (3) significant spatial aggregation effects exist and are persistent during most observational years, which indicates a strong Matthew effect of CO 2 emission within Jiangsu province; and (4) airport size, linkage to the local economy, and airport location are closely related to aircraft CO 2 emissions. We also provide a number of recommendations to improve airport CO 2 emissions and add to sustainable development. [ABSTRACT FROM AUTHOR]